Instructions to use microsoft/xdoc-base-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/xdoc-base-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="microsoft/xdoc-base-funsd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("microsoft/xdoc-base-funsd") model = AutoModelForTokenClassification.from_pretrained("microsoft/xdoc-base-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/xdoc-base-funsd: direct link, hf CLI and curl.
- Browser
- Download file 525 MB
-
https://huggingface.co/microsoft/xdoc-base-funsd/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/xdoc-base-funsd/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/xdoc-base-funsd/resolve/main/pytorch_model.bin
525 MB
- Xet hash:
- 12bfda87011cce503223963390a69ccfb621e22f516bf23ef5ba0375ca58c02f
- Size of remote file:
- 525 MB
- SHA256:
- 42e010288254d82b7714c61c98bda184c3adcd9318f4ff19b6aa344f6a663000
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